The Unique Architecture of the SAP HANA Data Lake


In April 2020, SAP launched the HANA Data Lake that added more power to the existing cloud-based business ecosystem. Users benefitted from a cost-effective storage system from the package that consisted of a native storage extension and a relational SAP data lake. From the start, this data lake was considered to be as feature-rich as the existing players like Microsoft Azure and Amazon S3. 

What makes SAP data lake stand out among its competitors is its unique architecture. Organizations have the option of storing data that is frequently used and regularly accessed in one layer while moving other not-so-critical data in low-cost storage layers of SAP HANA.

Visualize the SAP data lake as a pyramid that has three layers.

The top of the pyramid houses the most important data of an organization that is used in the regular course of business. Hence the cost of storing this data is the highest as it is frequently accessed for analytics or reporting.

In the second layer of the pyramid is stored data that is not as vital as the first but yet, not so insignificant that it may be deleted from the system. This is warm data, as different from hot data in the first layer, and has lower access requirements as well as storage costs.

At the bottom is data that is rarely used and would have been deleted from traditional databases. But because of the rock-bottom storage rates offered by SAP data lake for this type of data, businesses prefer to store it if ever needed. The downside is that the speed of access to this data is very slow.  

Comments

  1. Vizio - SAP Consulting Services7 September 2023 at 03:37

    SAP HANA Data Lake real-time data processing and streaming capabilities are essential for businesses looking to thrive in the fast-paced world of data analytics. By harnessing the power of real-time data, organizations can make better decisions, improve operations, and gain a significant competitive advantage.

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